Brian A. Neel

16 total papers · 1.2k total citations
12 papers, 900 citations indexed

About

Brian A. Neel is a scholar working on Physiology, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Brian A. Neel has authored 12 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Brian A. Neel's work include Effects and risks of endocrine disrupting chemicals (3 papers), Adipose Tissue and Metabolism (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Brian A. Neel is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (3 papers), Adipose Tissue and Metabolism (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Brian A. Neel collaborates with scholars based in United States, Germany and Italy. Brian A. Neel's co-authors include Robert M. Sargis, Derek LeRoith, Emily J. Gallagher, Jeffrey E. Pessin, Yuxi Lin, Gadi Shlomai, Matthew Brady, Irini Markella Antoniou, Nathan Kase and Zara Zelenko and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Neurology.

In The Last Decade

Brian A. Neel

12 papers receiving 891 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian A. Neel 387 227 211 203 118 12 900
John A. Schoenhard 222 0.6× 124 0.5× 194 0.9× 79 0.4× 46 0.4× 17 815
Francesca Punzo 332 0.9× 145 0.6× 82 0.4× 177 0.9× 64 0.5× 30 1.1k
Li Dong 337 0.9× 79 0.3× 127 0.6× 89 0.4× 99 0.8× 26 721
Eun Y. Lee 449 1.2× 70 0.3× 363 1.7× 81 0.4× 117 1.0× 25 978
Marianna Santopaolo 328 0.8× 126 0.6× 120 0.6× 38 0.2× 94 0.8× 17 936
Nathalie Fuentes 302 0.8× 116 0.5× 108 0.5× 142 0.7× 115 1.0× 24 1.0k
Elisa Ghelfi 374 1.0× 109 0.5× 165 0.8× 246 1.2× 50 0.4× 15 917
Joanna S. Kerley-Hamilton 446 1.2× 111 0.5× 101 0.5× 77 0.4× 110 0.9× 14 759
Machender R. Kandadi 413 1.1× 123 0.5× 79 0.4× 83 0.4× 38 0.3× 23 918
Peter M. Scarbrough 401 1.0× 105 0.5× 247 1.2× 57 0.3× 196 1.7× 12 841

Countries citing papers authored by Brian A. Neel

Since Specialization
Citations

This map shows the geographic impact of Brian A. Neel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian A. Neel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian A. Neel more than expected).

Fields of papers citing papers by Brian A. Neel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian A. Neel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian A. Neel. The network helps show where Brian A. Neel may publish in the future.

Co-authorship network of co-authors of Brian A. Neel

This figure shows the co-authorship network connecting the top 25 collaborators of Brian A. Neel. A scholar is included among the top collaborators of Brian A. Neel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian A. Neel. Brian A. Neel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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